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Research Article
Optimal Continuous Cover Forest Management in an Uneven-Aged Forest in the North of Iran

P. Lohmander and S. Mohammadi Limaei

Journal of Applied Sciences, 2008, 8(11), 1995-2007.


In this study, a growth function was estimated for an Iranian uneven-aged forest. Then the optimal harvest decisions were calculated via stochastic dynamic programming. The harvest decisions which maximize the expected present value of all profits over time are made adaptively, conditional on the latest available price and stock level information. It is possible to determine the optimal harvesting level under different price and stock states. The results show that you may increase the expected present value by more than 26% via optimal adaptive decisions.

ASCI-ID: 35-2477

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